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https://github.com/varun-r-mallya/Python-BPF.git
synced 2025-12-31 21:06:25 +00:00
separate map creation logic
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@ -86,96 +86,14 @@ def process_bpf_chunk(func_node, module, return_type):
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return func
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def create_bpf_map(module, map_name, map_params):
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"""Create a BPF map in the module with the given parameters"""
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key_type_str = map_params.get('key_type', 'c_uint32')
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value_type_str = map_params.get('value_type', 'c_uint32')
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key_type = ctypes_to_ir(key_type_str)
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value_type = ctypes_to_ir(value_type_str)
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map_struct_type = ir.LiteralStructType([
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ir.PointerType(), # type
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ir.PointerType(), # max_entries
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ir.PointerType(), # key_type
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ir.PointerType() # value_type
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])
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map_global = ir.GlobalVariable(module, map_struct_type, name=map_name)
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map_global.linkage = 'external'
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map_global.initializer = ir.Constant(
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map_struct_type, [None, None, None, None])
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map_global.section = ".maps"
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map_global.align = 8
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# TODO: Store map parameters in metadata or a suitable structure
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# maps[map_name] = {
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# 'global': map_global,
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# 'key_type': key_type,
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# 'value_type': value_type,
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# 'max_entries': map_params.get('max_entries', 1),
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# 'map_type': map_params.get('map_type', 'BPF_MAP_TYPE_HASH')
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# }
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print(f"Created BPF map: {map_name}")
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return map_global
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def process_bpf_global(func_node, module):
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"""Process a BPF global (a function decorated with @bpfglobal)"""
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global_name = func_node.name
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print(f"Processing BPF global: {global_name}")
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# For now, assume single return statement
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return_stmt = None
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for stmt in func_node.body:
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if isinstance(stmt, ast.Return):
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return_stmt = stmt
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break
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if return_stmt is None:
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raise ValueError("BPF global must have a return statement")
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rval = return_stmt.value
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# For now, just handle maps
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if isinstance(rval, ast.Call) and isinstance(rval.func, ast.Name) and rval.func.id == "HashMap":
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print(f"Creating HashMap global: {global_name}")
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map_params = {'map_type': 'HASH'}
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# Handle positional arguments
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if rval.args:
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# Assuming order is: key_type, value_type, max_entries
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if len(rval.args) >= 1 and isinstance(rval.args[0], ast.Name):
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map_params['key_type'] = rval.args[0].id
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if len(rval.args) >= 2 and isinstance(rval.args[1], ast.Name):
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map_params['value_type'] = rval.args[1].id
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if len(rval.args) >= 3 and isinstance(rval.args[2], ast.Constant):
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map_params['max_entries'] = rval.args[2].value
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# Handle keyword arguments (these will override any positional args)
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for keyword in rval.keywords:
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if keyword.arg == "key_type" and isinstance(keyword.value, ast.Name):
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map_params['key_type'] = keyword.value.id
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elif keyword.arg == "value_type" and isinstance(keyword.value, ast.Name):
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map_params['value_type'] = keyword.value.id
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elif keyword.arg == "max_entries" and isinstance(keyword.value, ast.Constant):
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map_params['max_entries'] = keyword.value.value
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print(f"Map parameters: {map_params}")
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print(create_bpf_map(module, global_name, map_params))
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def func_proc(tree, module, chunks):
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for func_node in chunks:
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# Check if this function is a global
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is_global = False
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for decorator in func_node.decorator_list:
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if isinstance(decorator, ast.Name) and decorator.id == "bpfglobal":
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if isinstance(decorator, ast.Name) and decorator.id == "map":
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is_global = True
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break
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if is_global:
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print(f"Found BPF global: {func_node.name}")
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process_bpf_global(func_node, module)
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continue
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func_type = get_probe_string(func_node)
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print(f"Found probe_string of {func_node.name}: {func_type}")
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